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相关实验视频

Updated: Jun 21, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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使用基于物联网的集群和路由算法对传感器网络进行无线优化.

Arun Kumar1, Nishant Gaur2, Aziz Nanthaamornphong3

  • 1Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India.

PeerJ. Computer science
|July 10, 2024
PubMed
概括
此摘要是机器生成的。

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一个增强的低能适应集群层次结构 (LEACH) 协议显著提高了无线传感器网络 (WSN) 的性能. 这种改进的WSN能效提高了25%的吞吐量和30%的网络寿命.

科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 网络工程 网络工程

背景情况:

  • 无线传感器网络 (WSN) 在医疗保健,物流和军事行动等各个领域至关重要.
  • 优化WSN的能源效率至关重要,因为它们在具有挑战性的环境中运行.
  • 低能适应集群层次结构 (LEACH) 协议是WSN能源优化的基础方法.

研究的目的:

  • 为了解决WSNs的传统LEACH协议中的局限性.
  • 为了提高WSN的性能,专注于吞吐量和网络寿命.
  • 通过优化集群和传输策略来提高能源效率.

主要方法:

  • 实施一个增强的LEACH算法.
  • 专注于动态集群头形成和传输能耗.
  • 使用自适应集群和传输功率控制.

主要成果:

  • 改进的LEACH算法显示了与传统LEACH相比的显著改进.
  • 由于动态聚类和优化路由,平均吞吐量增加了25%.
  • 通过提高能源效率,网络寿命延长了约30%.

结论:

关键词:
物联网的物联网,就是物联网.李奇 (Leach) 公司通过量 吞吐量 吞吐量无线传感器网络无线传感器网络

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  • 增强的LEACH协议为WSN提供了卓越的性能.
  • 优化能源管理是延长WSN运营寿命的关键.
  • 这项研究为更高效的WSN协议提供了基础.